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Most of the recent results in control of unmanned aerial vehicles (UAVs) have focused on motion stability and navigation in well-structured environments, without considering communication delay influences. In order to deal with time delays and packet losses in networked UAVs, this paper suggests a machine learning based Gaussian process (GP) filter for a path planning problem. The developed GP filter...
This paper studies an indoor localization for smartphone-based mobile robot. Due to the difficulty for collecting labeled training data in realistic applications, we propose the learning approach using only a small amount of labeled training data. The key aspect is the utilization of unlabeled data, by combining core concepts of pseudolabelling and time-series learning. The experimental result shows...
For case where exist some threats in field of task assignment, threat avoidance is needed to be considered. Then both fast arrival and threat avoidance are used to form the performance measure. The policies of task assignment decide which factor is mostly considered between arrival time and threat avoidance. The purpose of this research is estimating the hidden policy from user's manual task assignment...
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